teenytest vs stestr comparison of testing frameworks
What are the differences between teenytest and stestr?

	teenytest https://github.com/testdouble/teenytest	stestr https://pypi.org/project/stestr/
Programming language	JavaScript	Python
Category		Unit Testing
General info	Teenytest is a simple, zero-config test runner for NodeJS Teenytest's CLI will run tests with zero public-API and zero configuration	stestr is a Python test runner designed to execute unittest test suites stestr executes unittest test suites by using multiple processes to split up execution of a test suite then stores a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	Yes It supports xUnit output	No
Client-side Allows testing code execution on the client, such as a web browser	No	Yes Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.
Server-side Allows testing the bahovior of a server-side code	Yes Teenytest tests database connections and other server-side components and behaviour	Yes Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes It provides fixtures with the methods beforeAll(),afterEach() and afterAll()beforeAll() creates the browser and gives you a newPage() globalafterEach() will close any pages you created with newPage()afterAll() closes the browser	Yes By use of a third party library like Fixture
Group fixtures Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.	Yes Teeny test supports grouping of fixtures	By use of a third party library like Fixture
Generators Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.		Yes By using a library like test-generator
Licence Licence type governing the use and redistribution of the software	MIT License	Apache License 2.0
Mocks Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)	N/A	N/A
Grouping Allows organizing tests in groups	Yes Grouping is supported through nested tests in which any object can contain any combination of hooks, test functions, and additional sub-test objects.	N/A
Other Other useful information about the testing framework